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mradermacher/raptor-x1-gguf overview

About static quants of https://huggingface.co/prithivMLmods/Raptor-X1 For a convenient overview and download list, visit our model page for this model. weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.

transformersgguftext-generation-inferenceReasoningRaptorX1CoderHtmlCssReactPythonJavaQwenendataset:Tesslate/UIGEN-T1.5-Datasetdataset:Tesslate/Tessa-T1-Datasetdataset:smirki/UI_Reasoning_Datasetdataset:reasoning-machines/gsm-hardbase_model:prithivMLmods/Raptor-X1base_model:quantized:prithivMLmods/Raptor-X1license:apache-2.0endpoints_compatibleregion:usconversational
mradermacher/raptor-x1-gguf visual
Downloads
111
Likes
1
Pipeline
Library
transformers
Visibility
Public
Access
Open

Repository Files & Downloads

11 files detected
Direct downloads for all repository files
FileTypeQuantizationSizeLink
Raptor-X1.IQ4_XS.gguf GGUF IQ4_XS 7.62 GB Download
Raptor-X1.Q2_K.gguf GGUF Q2_K 5.37 GB Download
Raptor-X1.Q3_K_L.gguf GGUF Q3_K_L 7.38 GB Download
Raptor-X1.Q3_K_M.gguf GGUF Q3_K_M 6.84 GB Download
Raptor-X1.Q3_K_S.gguf GGUF Q3_K_S 6.20 GB Download
Raptor-X1.Q4_K_M.gguf GGUF Q4_K_M 8.37 GB Download
Raptor-X1.Q4_K_S.gguf GGUF Q4_K_S 7.98 GB Download
Raptor-X1.Q5_K_M.gguf GGUF Q5_K_M 9.79 GB Download
Raptor-X1.Q5_K_S.gguf GGUF Q5_K_S 9.56 GB Download
Raptor-X1.Q6_K.gguf GGUF Q6_K 11.29 GB Download
Raptor-X1.Q8_0.gguf GGUF 14.62 GB Download

Model Details Live

Model Slug
mradermacher/raptor-x1-gguf
Author
mradermacher
Pipeline Task
Library
transformers
Created
2025-03-26
Last Modified
2025-07-11
Gated
No
Private
No
HF SHA
8b4dcb74e2c6d8ab9259d06bc696fb94d3e0f6c9
License
apache-2.0
Language
en
Base Model
prithivMLmods/Raptor-X1

Metadata Inspector

Normalized metadata (stored in metadata_json)
{
  "metadata": {},
  "card_data": {
    "base_model": "prithivMLmods/Raptor-X1",
    "datasets": [
      "Tesslate/UIGEN-T1.5-Dataset",
      "Tesslate/Tessa-T1-Dataset",
      "smirki/UI_Reasoning_Dataset",
      "reasoning-machines/gsm-hard"
    ],
    "language": [
      "en"
    ],
    "library_name": "transformers",
    "license": "apache-2.0",
    "mradermacher": {
      "readme_rev": 1
    },
    "quantized_by": "mradermacher",
    "tags": [
      "text-generation-inference",
      "Reasoning",
      "Raptor",
      "X1",
      "Coder",
      "Html",
      "Css",
      "React",
      "Python",
      "Java",
      "Qwen"
    ],
    "frontmatter": {
      "base_model": "prithivMLmods/Raptor-X1",
      "datasets": [
        "Tesslate/UIGEN-T1.5-Dataset",
        "Tesslate/Tessa-T1-Dataset",
        "smirki/UI_Reasoning_Dataset",
        "reasoning-machines/gsm-hard"
      ],
      "language": [
        "en"
      ],
      "library_name": "transformers",
      "license": "apache-2.0",
      "mradermacher": [],
      "quantized_by": "mradermacher",
      "tags": [
        "text-generation-inference",
        "Reasoning",
        "Raptor",
        "X1",
        "Coder",
        "Html",
        "Css",
        "React",
        "Python",
        "Java",
        "Qwen"
      ]
    },
    "hero_image_url": "https://www.nethype.de/huggingface_embed/quantpplgraph.png",
    "summary": "## About      static quants of https://huggingface.co/prithivMLmods/Raptor-X1  ***For a convenient overview and download list, visit our model page for this model.*** weighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.",
    "quick_links": [],
    "benchmark_table_html": "",
    "readme_markdown": "---\nbase_model: prithivMLmods/Raptor-X1\ndatasets:\n- Tesslate/UIGEN-T1.5-Dataset\n- Tesslate/Tessa-T1-Dataset\n- smirki/UI_Reasoning_Dataset\n- reasoning-machines/gsm-hard\nlanguage:\n- en\nlibrary_name: transformers\nlicense: apache-2.0\nmradermacher:\n  readme_rev: 1\nquantized_by: mradermacher\ntags:\n- text-generation-inference\n- Reasoning\n- Raptor\n- X1\n- Coder\n- Html\n- Css\n- React\n- Python\n- Java\n- Qwen\n---\n## About\n\n<!-- ### quantize_version: 2 -->\n<!-- ### output_tensor_quantised: 1 -->\n<!-- ### convert_type: hf -->\n<!-- ### vocab_type:  -->\n<!-- ### tags:  -->\nstatic quants of https://huggingface.co/prithivMLmods/Raptor-X1\n\n<!-- provided-files -->\n\n***For a convenient overview and download list, visit our [model page for this model](https://hf.tst.eu/model#Raptor-X1-GGUF).***\n\nweighted/imatrix quants seem not to be available (by me) at this time. If they do not show up a week or so after the static ones, I have probably not planned for them. Feel free to request them by opening a Community Discussion.\n## Usage\n\nIf you are unsure how to use GGUF files, refer to one of [TheBloke's\nREADMEs](https://huggingface.co/TheBloke/KafkaLM-70B-German-V0.1-GGUF) for\nmore details, including on how to concatenate multi-part files.\n\n## Provided Quants\n\n(sorted by size, not necessarily quality. IQ-quants are often preferable over similar sized non-IQ quants)\n\n| Link | Type | Size/GB | Notes |\n|:-----|:-----|--------:|:------|\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q2_K.gguf) | Q2_K | 5.9 |  |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q3_K_S.gguf) | Q3_K_S | 6.8 |  |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q3_K_M.gguf) | Q3_K_M | 7.4 | lower quality |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q3_K_L.gguf) | Q3_K_L | 8.0 |  |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.IQ4_XS.gguf) | IQ4_XS | 8.3 |  |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q4_K_S.gguf) | Q4_K_S | 8.7 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q4_K_M.gguf) | Q4_K_M | 9.1 | fast, recommended |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q5_K_S.gguf) | Q5_K_S | 10.4 |  |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q5_K_M.gguf) | Q5_K_M | 10.6 |  |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q6_K.gguf) | Q6_K | 12.2 | very good quality |\n| [GGUF](https://huggingface.co/mradermacher/Raptor-X1-GGUF/resolve/main/Raptor-X1.Q8_0.gguf) | Q8_0 | 15.8 | fast, best quality |\n\nHere is a handy graph by ikawrakow comparing some lower-quality quant\ntypes (lower is better):\n\n![image.png](https://www.nethype.de/huggingface_embed/quantpplgraph.png)\n\nAnd here are Artefact2's thoughts on the matter:\nhttps://gist.github.com/Artefact2/b5f810600771265fc1e39442288e8ec9\n\n## FAQ / Model Request\n\nSee https://huggingface.co/mradermacher/model_requests for some answers to\nquestions you might have and/or if you want some other model quantized.\n\n## Thanks\n\nI thank my company, [nethype GmbH](https://www.nethype.de/), for letting\nme use its servers and providing upgrades to my workstation to enable\nthis work in my free time.\n\n<!-- end -->\n",
    "related_quantizations": []
  },
  "tags": [
    "transformers",
    "gguf",
    "text-generation-inference",
    "Reasoning",
    "Raptor",
    "X1",
    "Coder",
    "Html",
    "Css",
    "React",
    "Python",
    "Java",
    "Qwen",
    "en",
    "dataset:Tesslate/UIGEN-T1.5-Dataset",
    "dataset:Tesslate/Tessa-T1-Dataset",
    "dataset:smirki/UI_Reasoning_Dataset",
    "dataset:reasoning-machines/gsm-hard",
    "base_model:prithivMLmods/Raptor-X1",
    "base_model:quantized:prithivMLmods/Raptor-X1",
    "license:apache-2.0",
    "endpoints_compatible",
    "region:us",
    "conversational"
  ],
  "likes": 1,
  "downloads": 111,
  "gated": false,
  "private": false,
  "last_modified": "2025-07-11T08:00:21.000Z",
  "created_at": "2025-03-26T11:10:55.000Z",
  "pipeline_tag": "",
  "library_name": "transformers"
}
Source payload excerpt (from Hugging Face API)
{
  "_id": "67e3e0bf0045965c803f52a3",
  "id": "mradermacher/Raptor-X1-GGUF",
  "modelId": "mradermacher/Raptor-X1-GGUF",
  "sha": "8b4dcb74e2c6d8ab9259d06bc696fb94d3e0f6c9",
  "createdAt": "2025-03-26T11:10:55.000Z",
  "lastModified": "2025-07-11T08:00:21.000Z",
  "author": "mradermacher",
  "downloads": 111,
  "likes": 1,
  "gated": false,
  "private": false,
  "pipeline_tag": "",
  "library_name": "transformers",
  "siblings_count": 13
}